shell scripts to automate the Ubuntu environment setup for the Waveshare ESP32-S3 Touch AMOLED 1.8.
Simon Batt writes that Canonical is accelerating its update cycle for Ubuntu to keep pace with a massive surge in vulnerability reports. The developer is shifting from a staggered release schedule to a unified two-week patch cycle to manage the influx of Common Vulnerabilities and Exposures (CVEs) generated by large language models and automated AI agents. This trend reflects a "new normal" seen across the Linux kernel community, where automated bug discovery has significantly increased the workload for maintainers.
- The surge in CVEs is partly due to the upstream kernel community becoming its own CVE Numbering Authority (CNA).
- Linus Torvalds previously noted that AI assistants have made release candidates larger and sometimes unmanageable by reporting duplicate or menial bugs.
- Some open-source communities are debating whether to ban LLM-generated content/code versus adopting it as a standard tool.
- The surge in CVEs is partly due to the upstream kernel community becoming its own CVE Numbering Authority (CNA).
- Linus Torvalds previously noted that AI assistants have made release candidates larger and sometimes unmanageable by reporting duplicate or menial bugs.
- Some open-source communities are debating whether to ban LLM-generated content/code versus adopting it as a standard tool.
Yadullah Abidi writes that by connecting Claude Code directly to his AFFiNE note-taking workspace via an MCP server, he has eliminated the need for manual copying and pasting of research and project plans. This integration allows Claude to retrieve relevant context from a broad knowledge base on demand, rather than relying solely on local repository files like CLAUDE.md or duplicating information across multiple platforms.
- Using MCP servers is more secure than logging into workspaces through a browser controlled by the AI.
- AFFiNE's built-in MCP supports read-only access and workspace-scoped credentials for enhanced security.
- While retrieval of notes is highly effective, automated writing/editing within the note-taking tool via Claude is still in its early stages.
- Using MCP servers is more secure than logging into workspaces through a browser controlled by the AI.
- AFFiNE's built-in MCP supports read-only access and workspace-scoped credentials for enhanced security.
- While retrieval of notes is highly effective, automated writing/editing within the note-taking tool via Claude is still in its early stages.
Joshua Michael presents an interactive surveillance map analyzing Flock Safety's camera network and its potential implications for national security and privacy. The site provides research tools to audit the coverage, vulnerability chains, and route exposure related to these automated license plate recognition (ALPR) systems.
- Includes a dataset of approximately 335,701 cameras across the nation
- Provides formal research papers on cybersecurity vulnerabilities in surveillance infrastructure
- Analyzes "route exposure" outcomes based on camera observations along specific paths
- Includes a dataset of approximately 335,701 cameras across the nation
- Provides formal research papers on cybersecurity vulnerabilities in surveillance infrastructure
- Analyzes "route exposure" outcomes based on camera observations along specific paths
Erik Allebest writes about how he acquired the domain Chess.com at a bankruptcy auction for $56,000 in 2005 and grew it into a massive global platform with nearly $200 million in annual revenue by 2027. He emphasizes prioritizing community over paid advertising, choosing pro-consumer business models like freemium instead of aggressive microtransactions, and focusing on organic growth through content and creator partnerships rather than traditional venture capital or heavy ad spend.
- The platform currently has roughly 300 million registered users, with about 10 million daily active users.
- A massive revenue surge occurred when the pandemic, PogChamps, and *The Queen's Gambit* all gained popularity simultaneously.
- Instead of traditional ads as a primary driver, they invest heavily in creating value through videos, memes, events, and instructional content.
- To combat cheating—which is a major challenge for online chess—the company uses a combination of automated systems and human experts.
- The company maintains an "inverted org structure" where managers are at the bottom supporting individual contributors who receive the most celebration.
- The platform currently has roughly 300 million registered users, with about 10 million daily active users.
- A massive revenue surge occurred when the pandemic, PogChamps, and *The Queen's Gambit* all gained popularity simultaneously.
- Instead of traditional ads as a primary driver, they invest heavily in creating value through videos, memes, events, and instructional content.
- To combat cheating—which is a major challenge for online chess—the company uses a combination of automated systems and human experts.
- The company maintains an "inverted org structure" where managers are at the bottom supporting individual contributors who receive the most celebration.
TokenWatt is a transparent, OpenAI-compatible proxy designed to measure the actual electricity cost of running local Large Language Model (LLM) inference on Apple Silicon hardware. By sitting in front of local inference servers and utilizing Apple's IOReport via SoC rail energy measurements, it provides real-time pricing for requests based on user-defined utility rates without requiring sudo privileges. The tool allows users to compare the cost-efficiency of local execution versus cloud API providers, particularly highlighting the economic advantages of running high-context agentic loops locally where context re-processing is essentially free (limited only by power).
- Uses Apple's IOReport for sudoless energy measurement on macOS/Apple Silicon.
- Provides an OpenAI-compatible interface that forwards requests byte-for-byte to backends like LM Studio or MLX.
- Supports dynamic model discovery so routing updates automatically when models are loaded into memory.
- Offers a calibration feature to replace estimates (±15–30%) with highly accurate measurements via smart plugs.
- Uses Apple's IOReport for sudoless energy measurement on macOS/Apple Silicon.
- Provides an OpenAI-compatible interface that forwards requests byte-for-byte to backends like LM Studio or MLX.
- Supports dynamic model discovery so routing updates automatically when models are loaded into memory.
- Offers a calibration feature to replace estimates (±15–30%) with highly accurate measurements via smart plugs.
Peter James writes about his discovery that asking Meta's Muse agent to archive the files visible in its session resulted in a massive data export containing much of its internal runtime environment. The resulting 6.8 GB unpacked archive included Ubuntu system files, documentation for unreleased features like "Meta Home Link," various skill instructions, and sensitive-looking configuration files such as SSH keys and agent logs. While James reported the findings to Meta's bug bounty program, the company marked the report as "Not Applicable."
- The export contained a 68-skill directory covering services from Google Workspace to travel and shopping.
- Documentation revealed an experimental hardware integration called Meta Home Link using ESP32-C5 chips for Wi-Fi and Bluetooth LE access.
- Muse utilizes a nightly "dream" process that reviews conversations to update user guidance in files like ALIGNMENT_SYNTHESIS.md.
- Memory is managed via plain Markdown files, with an hourly background job extracting claims into searchable Postgres databases using embeddings.
- The export contained a 68-skill directory covering services from Google Workspace to travel and shopping.
- Documentation revealed an experimental hardware integration called Meta Home Link using ESP32-C5 chips for Wi-Fi and Bluetooth LE access.
- Muse utilizes a nightly "dream" process that reviews conversations to update user guidance in files like ALIGNMENT_SYNTHESIS.md.
- Memory is managed via plain Markdown files, with an hourly background job extracting claims into searchable Postgres databases using embeddings.
Simon Willison writes about Jev, a new category of models from TypeSafe AI called "System One models" or decision models. Unlike standard large language models that output text, Jev accepts unstructured input and returns structured probabilistic decisions such as floating-point numbers for yes/no questions (Noul), choices between options, or numeric scores. These models are designed to be extremely fast and inexpensive, charging only for input tokens while providing free output.
- Jev is optimized for classification tasks like spam detection, ranking, and labeling.
- The model's "Noul" question type refers to the Bernoulli distribution.
- Using such black-box decision models raises concerns about hidden biases that are difficult to audit without explanations.
- There is an emerging trend of open-weight recreations of Jev-class models, including projects like Kev and benchmarks like JevBench.
- Jev is optimized for classification tasks like spam detection, ranking, and labeling.
- The model's "Noul" question type refers to the Bernoulli distribution.
- Using such black-box decision models raises concerns about hidden biases that are difficult to audit without explanations.
- There is an emerging trend of open-weight recreations of Jev-class models, including projects like Kev and benchmarks like JevBench.
Pascal Costanza traces the historical evolution of programming advice, starting from Oliver Selfridge's 1958 concept of "demons" to its implementation in various Lisp systems like PILOT, Flavors, and LOOPS. This lineage eventually led to the development of the Common Lisp Object System (CLOS) and influenced modern paradigms such as Aspect-Oriented Programming (AOP) and Context-oriented Programming.
- The concept originated with Oliver Selfridge's "demons" which recognize patterns in events.
- Howard Cannon's Flavors introduced methods based on macros, acting as a precursor to around methods.
- CommonLoops was an essential component alongside Flavors that helped form the basis of CLOS.
- Aspect-oriented programming (AOP) evolved from metaobject protocols by moving toward pointcuts and compile-time approaches.
- The concept originated with Oliver Selfridge's "demons" which recognize patterns in events.
- Howard Cannon's Flavors introduced methods based on macros, acting as a precursor to around methods.
- CommonLoops was an essential component alongside Flavors that helped form the basis of CLOS.
- Aspect-oriented programming (AOP) evolved from metaobject protocols by moving toward pointcuts and compile-time approaches.
Maya Posch discusses the transition from IPv4 to IPv6, noting how fundamental networking concepts like UDP broadcasting and subnetting change in an IPv6 environment. While IPv6 simplifies some aspects by treating broadcasting as a form of multicasting via specific addresses and eliminating traditional subnets through massive address spaces (like /64 prefixes), it introduces complexities regarding service discovery and the lack of direct NAT compatibility.
- In IPv6, UDP "broadcasting" is achieved using a link-local multicast group at `ff02::1`.
- The standard IPv6 subnet size is `/64`, providing an address space roughly four billion times larger than typical IPv4 subnets.
- Transitioning between protocols can be difficult due to the lack of direct compatibility, often requiring dual-stack implementations or encapsulation.
- NPTv6 (Network Prefix Translation) exists as a way to perform NAT-like functions with prefixes rather than individual addresses in IPv6.
- In IPv6, UDP "broadcasting" is achieved using a link-local multicast group at `ff02::1`.
- The standard IPv6 subnet size is `/64`, providing an address space roughly four billion times larger than typical IPv4 subnets.
- Transitioning between protocols can be difficult due to the lack of direct compatibility, often requiring dual-stack implementations or encapsulation.
- NPTv6 (Network Prefix Translation) exists as a way to perform NAT-like functions with prefixes rather than individual addresses in IPv6.
